• 文献标题:   Ultrasensitive amyloid beta-protein quantification with high dynamic range using a hybrid graphene-gold surface-enhanced Raman spectroscopy platform
  • 文献类型:   Article
  • 作  者:   YU XK, HAYDEN EY, WANG P, XIA M, LIANG O, BAI Y, TEPLOW DB, XIE YH
  • 作者关键词:   sers, amyloid, graphene, quantitation
  • 出版物名称:   JOURNAL OF RAMAN SPECTROSCOPY
  • ISSN:   0377-0486 EI 1097-4555
  • 通讯作者地址:   Univ Calif Los Angeles
  • 被引频次:   1
  • DOI:   10.1002/jrs.5785 EA DEC 2019
  • 出版年:   2020

▎ 摘  要

Surface enhanced Raman spectroscopy (SERS) holds great promise in biosensing because of its single-molecule, label-free sensitivity. We describe here the use of a graphene-gold hybrid plasmonic platform that enables quantitative SERS measurement. Quantification is enabled by normalizing analyte peak intensities to that of the graphene G peak. We show that two complementary quantification modes are intrinsic features of the platform and that through their combined use, the platform enables accurate determination of analyte concentration over a concentration range spanning seven orders of magnitude. We demonstrate, using a biologically relevant test analyte, the amyloid beta-protein (A beta), a seminal pathologic agent of Alzheimer's disease, that linear relationships exist between (a) peak intensity and concentration at a single plasmonic hot spot smaller than 100 nm and (b) frequency of hot spots with observable protein signals, that is, the colocation of an A beta protein and a hot spot. We demonstrate the detection of A beta at a concentration as low as 10(-18) M after a single 20 mu l aliquot of the analyte onto the hybrid platform. This detection sensitivity can be improved further through multiple applications of analyte to the platform and by rastering the laser beam with smaller step sizes.